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Design Sprints in Product Management

Design sprints are a structured, time-constrained innovation framework that enables product teams to rapidly solve complex problems and validate potential solutions through collaborative design, prototyping, and user testing. Originating at Google Ventures and popularized by Jake Knapp, design sprints compress what could be months of work into an intensive five-day process, allowing teams to move from problem definition to tested solution in a single workweek. In product management, design sprints serve as a powerful discovery mechanism that reduces risk, aligns stakeholders, accelerates learning, and ensures product ideas address genuine user needs before significant resources are committed to development.

The Strategic Value of Design Sprints

Effective design sprints deliver several critical advantages to product organizations:

1. Accelerated Learning and Validation

Design sprints enable rapid insight generation:

  • Compress months of work into a single week
  • Test ideas before significant investment
  • Gather real user feedback on concepts quickly
  • Fail fast and learn from unsuccessful concepts
  • Validate assumptions with evidence
  • Create learning artifacts that inform future work
  • Reduce costly pivots through early testing

2. Enhanced Stakeholder Alignment

Design sprints create organizational focus and consensus:

  • Align cross-functional teams around shared goals
  • Build common understanding of user problems
  • Create shared vision for potential solutions
  • Overcome decision paralysis through structured process
  • Reduce political battles by focusing on user needs
  • Generate buy-in through collaborative participation
  • Build momentum for product initiatives

3. Risk Reduction

Design sprints minimize innovation uncertainty:

  • Test risky assumptions before full commitment
  • Identify critical flaws in concepts early
  • Explore multiple approaches efficiently
  • Create evidence for investment decisions
  • Reduce sunk cost risk through early validation
  • Identify overlooked opportunities
  • Build confidence in chosen direction

4. Improved Solution Quality

Design sprints enhance product outcomes:

  • Generate diverse solution approaches
  • Focus on solving genuine user problems
  • Leverage collective expertise of diverse teams
  • Force concrete solution thinking
  • Avoid abstract debates through tangible prototyping
  • Apply design thinking principles systematically
  • Balance user needs with business requirements

The Design Sprint Methodology

The classic five-day design sprint structure and process:

1. Day One: Understand

Setting the foundation by building shared knowledge:

Long-Term Goal Setting

  • Establish ultimate business objectives
  • Define 12-24 month success metrics
  • Articulate product vision
  • Identify key stakeholder needs
  • Clarify constraints and scope
  • Establish sprint focus areas
  • Define success criteria

Problem Framing

  • Map the problem space
  • Create customer journey maps
  • Document current pain points
  • Identify key users and stakeholders
  • Gather existing research and insights
  • List key questions and assumptions
  • Create problem statements

Expert Interviews

  • Gather insights from subject matter experts
  • Interview customer-facing team members
  • Consult technical specialists
  • Capture diverse perspectives
  • Document key learnings
  • Identify knowledge gaps
  • Collect potential solution ideas

"How Might We" Questions

  • Reframe problems as opportunities
  • Generate possibility-oriented questions
  • Organize questions by themes
  • Vote on most promising opportunities
  • Create affinity maps of questions
  • Identify patterns and connections
  • Select target opportunity areas

2. Day Two: Ideate

Exploring diverse solution approaches:

Inspiration and Benchmarking

  • Research existing solutions in similar domains
  • Examine competitors and alternatives
  • Look for analogous solutions in other industries
  • Review relevant technologies and approaches
  • Document interesting patterns and ideas
  • Analyze success and failure examples
  • Create a shared inspiration library

Individual Sketching

  • Use quiet, focused sketching time
  • Create multiple rough solution concepts
  • Apply "crazy eights" rapid sketching technique
  • Refine most promising concepts
  • Develop detailed solution sketches
  • Add annotations and explanations
  • Create self-explanatory solution concepts

Solution Presentation

  • Display all sketches gallery-style
  • Present solutions anonymously
  • Document key ideas and approaches
  • Create inventory of solution components
  • Identify innovative concepts
  • Capture team questions and concerns
  • Prepare for evaluation and selection

Heat Mapping and Voting

  • Mark interesting solution elements
  • Vote on most promising approaches
  • Discuss team preferences
  • Identify common themes across solutions
  • Select standout solutions for refinement
  • Create decision matrix for evaluation
  • Prepare for solution storyboard creation

3. Day Three: Decide

Selecting and refining the most promising solution:

Solution Critique

  • Evaluate top solutions against goals
  • Discuss pros and cons of each approach
  • Identify technical feasibility concerns
  • Assess potential user value
  • Consider business impact and viability
  • Analyze implementation complexity
  • Document key decision criteria

Storyboard Development

  • Create step-by-step user flow
  • Detail key user interactions
  • Map critical screens and touchpoints
  • Define information architecture
  • Create narrative structure for solution
  • Incorporate strongest concepts from sketches
  • Build consensus on overall approach

User Testing Preparation

  • Define key testing hypotheses
  • Select critical metrics for validation
  • Identify target user profiles
  • Develop user testing script
  • Create interview guide
  • Prepare recruiting criteria
  • Schedule test participants

Solution Refinement

  • Address potential edge cases
  • Clarify technical approach
  • Resolve open questions
  • Finalize scope for prototype
  • Create asset inventory
  • Assign prototype creation responsibilities
  • Develop detailed implementation plan

4. Day Four: Prototype

Building a realistic facade of the solution:

Prototype Planning

  • Select appropriate fidelity level
  • Choose prototyping tools and methods
  • Define prototype boundaries
  • Create realistic but minimal prototype
  • Focus on critical user flows
  • Develop testing scenarios
  • Establish asset requirements

Prototyping Approaches

  • Digital interactive prototypes
  • Paper or physical prototypes
  • Video simulations
  • Wizard of Oz demonstrations
  • Service role-playing
  • Simulated environments
  • Hybrid approaches

Team Collaboration

  • Divide prototype creation tasks
  • Establish coordination mechanisms
  • Create shared asset repositories
  • Implement regular check-ins
  • Address prototype roadblocks
  • Ensure cohesive experience
  • Prepare contingency plans

Testing Preparation

  • Finalize testing materials
  • Refine interview scripts
  • Prepare testing environment
  • Set up recording mechanisms
  • Create observer guidelines
  • Prepare participant instructions
  • Conduct dry run walkthrough

5. Day Five: Validate

Testing the solution with real users:

User Testing Sessions

  • Conduct 5-8 one-on-one tests
  • Follow consistent test protocol
  • Focus on user reactions and behavior
  • Ask open-ended questions
  • Observe user interaction with prototype
  • Document verbatim feedback
  • Identify common patterns

Observation and Note Taking

  • Create structured observation guide
  • Document user quotes and reactions
  • Note unexpected behaviors
  • Track completion of test tasks
  • Record questions and confusions
  • Measure time on task
  • Track changes in user sentiment

Insight Synthesis

  • Analyze patterns across participants
  • Identify common pain points
  • Document successful interactions
  • Create findings summary
  • Assess validation of key hypotheses
  • Determine prototype strengths and weaknesses
  • Prioritize learnings by impact

Next Steps Planning

  • Determine if solution is viable
  • Identify required refinements
  • Decide on pivot or persevere
  • Create action plan based on learnings
  • Schedule follow-up activities
  • Assign post-sprint responsibilities
  • Plan how to share findings

Design Sprint Variations and Adaptations

Modified approaches to fit different contexts:

1. Time-Constrained Variations

Adaptations to different schedule requirements:

Four-Day Compressed Sprint

  • Combine Understand and Ideate phases
  • Accelerate decision making
  • Focus on core user flows only
  • Reduce number of iterations
  • Streamline testing protocol
  • Prioritize critical solution components
  • Fast-track prototype development

Three-Day Lightning Sprint

  • Pre-work before sprint begins
  • Heavily focused problem scope
  • Rapid decision protocols
  • Simplified prototype creation
  • Limited testing objectives
  • Focused solution exploration
  • Clear pre-defined constraints

Two-Week Extended Sprint

  • Deeper problem exploration
  • Additional user research
  • More detailed prototype creation
  • Multiple prototype variations
  • Extended testing window
  • Additional refinement cycles
  • More comprehensive documentation

One-Day Mini-Sprint

  • Extremely narrow focus area
  • Single critical problem to solve
  • Abbreviated activities
  • Limited prototype scope
  • Informal testing approach
  • Focused on specific decisions
  • Used for smaller feature questions

2. Remote and Distributed Sprints

Approaches for teams not co-located:

Fully Remote Sprints

  • Digital whiteboarding platforms
  • Virtual collaboration tools
  • Structured video conferencing
  • Digital sketching and annotation
  • Asynchronous voting mechanisms
  • Remote user testing platforms
  • Digital prototype sharing

Hybrid Sprint Models

  • Core team co-located
  • Remote experts and stakeholders
  • Combination of physical and digital artifacts
  • Streaming of key activities
  • Mixed participation models
  • Flexible scheduling for different time zones
  • Balanced synchronous and asynchronous work

Asynchronous Components

  • Pre-sprint individual exercises
  • Time-shifted participation
  • Recorded sessions for review
  • Extended voting windows
  • Documentation-heavy approach
  • Formalized decision making
  • Progressive sharing of outputs

Global Team Coordination

  • Follow-the-sun sprinting
  • Regional sub-team organization
  • Handover protocols
  • Cultural adaptation considerations
  • Formalized communication structures
  • Translation and localization practices
  • Global and local solution balancing

3. Purpose-Specific Sprint Variations

Adapted sprints for different organizational needs:

Product Discovery Sprints

  • Focus on problem validation
  • Emphasis on user research
  • Multiple problem exploration
  • Needs identification
  • Opportunity sizing
  • Competitive analysis
  • Solution direction exploration

Feature Definition Sprints

  • Narrower scope on specific feature
  • Integration with existing product
  • Technical feasibility emphasis
  • Detailed interaction design
  • User flow optimization
  • Specific enhancement focus
  • Integration constraints consideration

Experience Redesign Sprints

  • Focus on existing product improvement
  • User friction identification
  • Competitive benchmarking
  • Analytics-informed problem focus
  • Iterative improvement approach
  • Migration path consideration
  • Legacy experience transformation

Strategic Direction Sprints

  • Longer-term vision focus
  • Business model exploration
  • Market positioning emphasis
  • Value proposition definition
  • Company-wide alignment goal
  • Future scenario planning
  • Broad stakeholder involvement

4. Specialized Design Sprint Approaches

Variations for specific contexts or industries:

Enterprise Product Sprints

  • Multiple stakeholder management
  • Complex system integration
  • Role-based solution design
  • Organizational change consideration
  • Security and compliance awareness
  • Scalability focus
  • Implementation complexity planning

Hardware and Physical Product Sprints

  • Physical prototyping methods
  • Manufacturing constraint consideration
  • Materials and form factor exploration
  • Cost and supply chain awareness
  • Physical + digital integration
  • Ergonomic and usability focus
  • Product lifecycle planning

Service Design Sprints

  • End-to-end service experience focus
  • Front and backstage consideration
  • Multiple touchpoint design
  • Human and digital interaction mapping
  • Service blueprint creation
  • Staff and system integration
  • Service delivery feasibility

AI and Data Product Sprints

  • Data availability and quality assessment
  • Algorithm capability exploration
  • Training data consideration
  • User control and transparency design
  • Confidence level interface design
  • Edge case identification
  • Ethical consideration integration

Implementing Design Sprints in Product Management

Practical approaches to integrating sprints into product processes:

1. Sprint Planning and Preparation

Setting up sprints for success:

Sprint Problem Selection

  • Identify high-impact opportunities
  • Select appropriate problem scope
  • Ensure executive sponsorship
  • Confirm resource availability
  • Align with strategic priorities
  • Verify problem understanding
  • Ensure sufficient complexity to warrant sprint

Team Composition

  • Select diverse, cross-functional participants
  • Include necessary decision makers
  • Bring together varied expertise
  • Ensure user perspective representation
  • Limit to 4-7 core participants
  • Include technical feasibility perspective
  • Balance seniority levels

Pre-Sprint Activities

  • Conduct preliminary user research
  • Gather existing data and insights
  • Prepare relevant background information
  • Create pre-read materials
  • Schedule participants and block calendars
  • Prepare physical or virtual space
  • Brief participants on process and expectations

Facilitator Preparation

  • Create detailed sprint agenda
  • Prepare facilitation materials
  • Develop contingency plans
  • Anticipate potential blockers
  • Prepare energizers and activities
  • Create decision frameworks
  • Train supporting facilitators

2. Sprint Facilitation Techniques

Effectively guiding the sprint process:

Group Dynamic Management

  • Balance participation across team members
  • Manage dominant voices
  • Draw out quieter participants
  • Create psychological safety
  • Handle disagreements constructively
  • Maintain positive energy
  • Recognize and reward contributions

Decision Facilitation

  • Implement structured voting methods
  • Create clear decision criteria
  • Overcome indecision and analysis paralysis
  • Use dot voting and other techniques
  • Clarify decision authority
  • Document rationale for decisions
  • Create commitment to outcomes

Time Management

  • Maintain strict timeboxing
  • Use visual timers
  • Create clear activity transitions
  • Adjust activities as needed
  • Ensure appropriate pacing
  • Balance divergent and convergent thinking
  • Protect focused work time

Energy and Engagement

  • Use icebreakers and warm-ups appropriately
  • Create varied activities and formats
  • Implement movement and location changes
  • Provide appropriate breaks
  • Use music and environment effectively
  • Celebrate progress and milestones
  • Maintain focus and purpose

3. Post-Sprint Activities

Maximizing the value of sprint outcomes:

Documentation and Synthesis

  • Create comprehensive sprint summary
  • Document key decisions and rationale
  • Summarize user testing findings
  • Create artifact repository
  • Prepare executive summary
  • Archive all materials
  • Develop presentation for broader sharing

Next Steps Planning

  • Create specific action plan
  • Assign clear responsibilities
  • Establish follow-up timeline
  • Connect to product roadmap
  • Plan for solution refinement
  • Define development approach
  • Create communication plan

Knowledge Transfer

  • Share learnings with broader team
  • Create knowledge sharing sessions
  • Update relevant documentation
  • Connect insights to other projects
  • Brief team members not in sprint
  • Create reusable patterns and components
  • Integrate findings into design systems

Measurement and Follow-up

  • Track impact of sprint outcomes
  • Measure return on sprint investment
  • Schedule follow-up reviews
  • Plan for additional validation
  • Create success metrics
  • Compare outcomes to goals
  • Evaluate process improvements for future sprints

4. Scaling Design Sprints

Implementing sprints across larger organizations:

Sprint Program Development

  • Create standardized sprint playbooks
  • Develop facilitator training program
  • Establish sprint request process
  • Implement consistent documentation
  • Create sprint outcome repository
  • Develop sprint ROI measurement
  • Build sprint community of practice

Multi-Team Coordination

  • Coordinate dependent product areas
  • Align sprint timing across teams
  • Conduct multi-team synthesis
  • Create larger solution integration
  • Develop handoff processes
  • Coordinate testing resources
  • Align sprint outcomes with roadmaps

Executive Engagement

  • Create executive sprint briefing formats
  • Develop sprint portfolio view
  • Connect sprints to strategic priorities
  • Create executive participation protocols
  • Implement transparent outcome sharing
  • Demonstrate sprint value and ROI
  • Build executive sprint sponsorship

Capability Building

  • Develop internal sprint facilitation talent
  • Create mentor programs for facilitators
  • Build sprint supply chain and logistics
  • Develop space and resource management
  • Create facilitator community
  • Implement continuous improvement
  • Share best practices and learnings

Common Design Sprint Challenges and Solutions

Addressing typical obstacles in sprint implementation:

Challenge: Scope and Focus Issues

Problem: Sprint addressing too broad or ambiguous a problem.

Solutions:

  • Create clear sprint question and goal statement
  • Focus on specific user and use case
  • Pre-work to narrow problem definition
  • Develop explicit scope boundaries
  • Create "parking lot" for out-of-scope ideas
  • Break larger problems into multiple sprint questions
  • Pre-sprint alignment on expected outcomes
  • Define specific constraints and assumptions
  • Use "How Might We" techniques for problem framing
  • Implement regular scope check-ins during sprint

Challenge: Stakeholder and Decision-Maker Buy-In

Problem: Lack of authority to act on sprint outcomes or executive skepticism.

Solutions:

  • Include decision makers in sprint team
  • Create executive brief on sprint method and value
  • Demonstrate ROI and success stories
  • Develop clear decision framework before sprint
  • Schedule executive reviews at key sprint points
  • Create compelling documentation of outcomes
  • Connect sprint directly to business goals
  • Implement smaller proof-of-concept sprints
  • Measure and communicate sprint impacts
  • Include respected organizational influencers
  • Develop executive sponsor for sprint program

Challenge: Implementation Gap

Problem: Sprint outcomes not effectively transitioning to development.

Solutions:

  • Include technical team members in sprint
  • Create explicit handoff and transition plan
  • Develop sprint-to-backlog process
  • Schedule post-sprint technical feasibility review
  • Create appropriate documentation for development
  • Plan for staged implementation of sprint outcomes
  • Involve product management in transition
  • Set realistic expectations for translation to product
  • Create technical specification from prototype
  • Implement progressive handover approach
  • Plan post-sprint refinement activities

Challenge: Team Dynamics and Participation

Problem: Uneven participation, dominating voices, or lack of diversity.

Solutions:

  • Implement structured individual ideation
  • Use silent voting techniques
  • Create rotation of responsibilities
  • Set ground rules for participation
  • Use facilitation techniques for balanced input
  • Create multiple channels for contribution
  • Explicitly invite perspectives from all participants
  • Use breakout groups for deeper exploration
  • Create psychological safety through facilitation
  • Select diverse sprint team deliberately
  • Prepare participants with pre-sprint guidance

Challenge: Unrealistic Prototyping Expectations

Problem: Attempting overly complex or comprehensive prototypes in limited time.

Solutions:

  • Focus prototype on critical user path only
  • Create clear scope boundaries for prototype
  • Use appropriate fidelity for testing goals
  • Implement "fake it" approaches where needed
  • Develop lightweight testing protocols
  • Prioritize key interactions over completeness
  • Create modular prototype components
  • Use existing tools and templates
  • Prepare prototype elements in advance where possible
  • Set appropriate expectations with stakeholders
  • Use multiple specialized prototypers where needed

Real-World Examples of Design Sprints

Google's Chrome Cookie Notification Design

Initial Situation: Google needed to redesign cookie consent notifications for Chrome browser to comply with evolving privacy regulations while maintaining a positive user experience, a problem with significant legal, technical, and UX complexity.

Sprint Approach:

  • Assembled cross-functional team including legal, UX, engineering, and policy experts
  • Set clear constraints based on regulatory requirements
  • Created journey map of current cookie consent experience
  • Generated multiple notification design approaches
  • Prototyped several variations with different interaction models
  • Tested with diverse user segments across multiple countries
  • Focused on comprehension and user sentiment metrics

Key Innovation: Google's sprint team innovated by creating a two-level notification system that balanced regulatory compliance with user experience, developing a solution that provided clear information without overwhelming users, while still meeting complex legal requirements across jurisdictions.

Outcome: The design sprint produced a notification system that improved user comprehension by 30% while reducing negative sentiment by 43% compared to earlier designs. The solution met regulatory requirements across multiple countries, avoiding potential legal issues while maintaining user experience in a critical part of Chrome's functionality.

Slack's Mobile Onboarding Redesign

Initial Situation: Slack needed to improve their mobile app onboarding process, which had significantly lower completion rates than their desktop experience, presenting a challenge for mobile user acquisition and activation.

Sprint Approach:

  • Analyzed existing onboarding analytics and drop-off points
  • Mapped complete onboarding journey across touchpoints
  • Generated multiple approaches to streamline the process
  • Created "job stories" for different user scenarios
  • Developed interactive prototypes of new onboarding flows
  • Tested with both new and existing Slack users
  • Measured task completion time and success rates

Key Innovation: Slack's sprint team developed a contextual, progressive onboarding approach that adapted based on user behavior and team context, rather than presenting all information at once. They created a modular onboarding framework that could present different features based on user role and team characteristics.

Outcome: The redesigned onboarding flow increased mobile activation rates by 25% and reduced time-to-first-message by 42%. The design sprint approach allowed Slack to move from concept to implementation in just three weeks, significantly accelerating their mobile activation improvements, which contributed to their growth to over 12 million daily active users.

Airbnb's Experience Platform Design

Initial Situation: Airbnb sought to expand beyond accommodation into experiences, needing to create an entirely new marketplace and product category with unique challenges around trust, discovery, and quality control.

Sprint Approach:

  • Conducted pre-sprint research with potential hosts and guests
  • Created experience journey maps for both sides of marketplace
  • Explored multiple approaches to experience categorization
  • Developed booking flow prototypes with different friction/quality tradeoffs
  • Built quality control and standards framework
  • Tested concepts with potential experience hosts and guests
  • Identified critical trust and safety requirements

Key Innovation: Airbnb's sprint team developed an experience quality framework that balanced host creativity with consistent quality, creating a structured approach to experience design that helped hosts create compelling offerings while maintaining Airbnb's quality standards.

Outcome: The design sprint laid the foundation for Airbnb Experiences, which grew to over 40,000 experiences across 1,000+ cities. The sprint approach allowed Airbnb to launch the new product category in just four months, significantly faster than their typical timeline for major initiatives. The experience platform became a significant new revenue stream and strategic differentiator for the company.

Advanced Design Sprint Concepts

Sophisticated approaches for mature product organizations:

1. AI-Enhanced Design Sprints

Leveraging artificial intelligence in the sprint process:

  • Implementing AI-generated design alternatives
  • Using machine learning for testing analysis
  • Creating AI-assisted research synthesis
  • Developing generative design tools
  • Implementing predictive user behavior models
  • Creating automated prototype generation
  • Developing AI-powered decision support
  • Building data-driven problem identification

2. Continuous Discovery Integration

Embedding sprints in ongoing discovery workflows:

  • Creating rolling sprint cadences
  • Implementing sprint outcome tracking
  • Developing insight repositories from sprints
  • Building sprint learning into product roadmaps
  • Creating sprint-fed opportunity canvas
  • Developing progressive refinement models
  • Implementing continuous validation approaches
  • Building feedback loops into development process

3. Multi-Team Parallel Sprints

Scaling sprint approaches across larger initiatives:

  • Coordinating dependent product areas
  • Creating system-level sprint frameworks
  • Implementing distributed yet synchronized sprints
  • Developing cross-sprint synthesis methodology
  • Building modular prototype approaches
  • Creating comprehensive experience mapping
  • Implementing cross-functional integration
  • Developing multi-sprint roadmap alignment

4. Business Model and Strategy Sprints

Applying sprint methodology beyond product design:

  • Creating value proposition design sprints
  • Implementing pricing model exploration
  • Developing go-to-market strategy sprints
  • Building revenue model experimentation
  • Creating partnership and ecosystem design
  • Implementing organizational design sprints
  • Developing strategic narrative exploration
  • Building transformation roadmap sprints

Conclusion

Design sprints represent a powerful approach to product innovation that combines the best elements of design thinking, lean startup methodology, and agile development into a structured framework for solving complex problems. By compressing months of work into an intensive five-day process, sprints enable product teams to rapidly explore opportunities, test ideas, and validate solutions before committing significant resources to development.

The most effective product organizations view design sprints not as isolated events but as integral components of their product discovery process, creating a bridge between strategic vision and tactical execution. They adapt the sprint methodology to their specific context, integrate sprints into their broader product processes, and use sprint outcomes to inform roadmap decisions and development priorities.

As markets become increasingly competitive and user expectations continue to rise, the ability to innovate effectively and efficiently becomes an increasingly critical competency. Product managers who master design sprints build more successful products, more aligned teams, and more resilient organizations capable of responding quickly to changing user needs and market conditions.

Example

Spotify uses design sprints to explore new user interface ideas for its music streaming app. By rapidly prototyping and testing with users, Spotify can quickly gauge the viability of new features before committing to full-scale development.

Their approach extends beyond the standard five-day format. For their "Discover Weekly" personalized playlist feature, Spotify conducted a focused design sprint to explore how to present algorithmically-generated playlists in a way that would feel personal and valuable to users.

The sprint team included product managers, designers, engineers, and data scientists who explored multiple concepts for presenting personalized music. They prototyped different approaches to playlist presentation, curation explanation, and refresh cadence. Through user testing, they discovered that a weekly cadence created anticipation, and presenting the playlist as a "gift" from Spotify created an emotional connection that drove engagement.

This sprint-driven approach enabled Spotify to refine and launch the feature in just weeks after the initial concept, resulting in one of their most successful features with over 40 million users engaging with Discover Weekly regularly. The feature has since become a cornerstone of Spotify's personalization strategy and a key competitive differentiator in the music streaming market.

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